code: def get_all_optimizer_operators():
      """Gets all Optimizer operators registered with MXNet.
  
      Returns
      -------
      {"operator_name": {"has_backward", "nd_op_handle", "params"}}
      """
      optimizer_ops = {
          "mp_sgd_update",
          "signum_update",
          "rmspropalex_update",
          "ftml_update",
          "rmsprop_update",
          "sgd_mom_update",
          "signsgd_update",
          "mp_sgd_mom_update",
          "ftrl_update",
          "sgd_update",
          "adam_update",
          "mp_nag_mom_update",
          "nag_mom_update",
          "lamb_update_phase1",
          "lamb_update_phase2",
      }
  
      # Get all mxnet operators
      mx_operators = _get_all_mxnet_operators()
  
      # Filter for Optimizer operators
      optimizer_mx_operators = {}
      for op_name, _ in mx_operators.items():
          if op_name in optimizer_ops:
              optimizer_mx_operators[op_name] = mx_operators[op_name]
      return optimizer_mx_operators
  
imports: from operator import itemgetter
  from mxnet import runtime
  import mxnet
  from benchmark.opperf.rules.default_params import DEFAULTS_INPUTS, DEFAULTS_INPUTS_LARGE_TENSOR, MX_OP_MODULE
label_desc: Use image node_id 15 for calling a global function with example usage: get_all_optimizer_operators() and returns: optimizer_mx_operators